Social bookmarking is an emerging type of a Web service that helps users share, classify, and discover interesting resources. In this paper, we explore the concept of an enhanced search, in which data from social bookmarking systems is exploited for enhancing search in the Web. We propose combining the widely used link-based ranking metric with the one derived using social bookmarking data. First, this increases the precision of a standard link-based search by incorporating popularity estimates from aggregated data of bookmarking users. Second, it provides an opportunity for extending the search capabilities of existing search engines. Individual contributions of bookmarking users as well as the general statistics of their activities are used here for a new kind of a complex search where contextual, temporal or sentiment-related information is used. We investigate the usefulness of social bookmarking systems for the purpose of enhancing Web search through a series of experiments done on datasets obtained from social bookmarking systems. Next, we show the prototype system that implements the proposed approach and we present some preliminary results.
Social bookmarking in digital library systems: framework and case study: International Conference on Digital Libraries archive Proceedings of the 2007 conference on Digital libraries.
Academically speaking, semantic search ought to be a system which understands both the user's query and the Web text using cognitive algorithms similar to that of the human brain, then brings results that are dead on target (right context) at first glance (not requiring to open the Web page for further investigation.) There are several ideas on how to build such a system.
Collaborative tagging systems, or folksonomies, have the potential of becoming technological infrastructure to support knowledge management activities in an organization or a society. There are many challenges, however. This paper presents designs that enhance collaborative tagging systems to meet some key challenges: community...( DOI: 10.1145/1149941.1149962 )
ISBN:1-59593-417-0 . In recent years, tagging systems have become increasingly popular. These systems enable users to add keywords (i.e., "tags") to Internet resources (e.g., web pages, images, videos) without relying on a controlled vocabulary. Tagging systems have the potential to improve search, spam detection, reputation systems, and personal organization while introducing new modalities...
Social bookmarking services let you keep links to your favorite web destinations in one location that's accessible from any computer on the net. Add the ability to share your favorite web destinations and search through other users' bookmarks to discover new sites, and you've got a highly addictive and truly remarkable phenomenon.
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Folksonomy and tagged content by the masses
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